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Private lessonsStatisticsStatistics in Zürich

13 statistics teachers in Zürich

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13 statistics teachers in Zürich

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(1 review)
Anais - France44Fr
44FrHOLDER OF A DOCTORATE / Data analysis and biostatistics: introduction to data science with Rstudio
Trusted teacher: This data analysis course is designed for students as well as individuals or professionals who want to gain a solid understanding of statistics and develop practical skills using R Studio software. As a PhD holder with a double competence in life sciences and statistics, I will guide you through the fundamental principles of biostatistics using concrete examples from the agronomic and forestry fields. During this program, we will cover the following topics: I. Introduction to the basic concepts of statistics: You will learn the fundamental notions such as measures of central tendency, dispersion, probability distributions, hypothesis testing and estimation. II. Data collection and preparation: You will learn best practices for collecting and preparing your data for statistical analysis. We will also discuss common data quality issues and techniques to resolve them. III. Data exploration and visualization: You will explore different methods to visualize your data and extract meaningful insights. We will use graphs and advanced visualization techniques to identify patterns and relationships between variables. IV. Statistical analysis techniques: You will learn to apply common statistical methods such as parametric and non-parametric tests, linear and logistic regression, analysis of variance (ANOVA) and correlation analysis. V. Introduction to machine learning with R: You will learn the basics of machine learning and explore popular techniques such as tree regression, random forests, and classification methods. We'll see how to use these techniques to predict outcomes and make data-driven decisions. This course will focus on practical applications and will use the R Studio software, a reference in the field of data analysis, which is also free to access. You will develop practical skills by manipulating real datasets and applying appropriate statistical techniques to draw meaningful conclusions. Whether you are a student, professional, or simply interested in data analysis, this course will provide you with the foundation to understand and apply statistics in a variety of contexts, with an emphasis on the fields of life sciences and agronomy. Do not hesitate to register and join this course to acquire a strong skill in data analysis and improve your evidence-based decision making.
Statistics
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Maik - Stuttgart, Germany68Fr
68FrProfessional advice & implementation of statistical data analyses (SPSS, R, Jamovi, Jasp)
Trusted teacher: • Consulting & implementation of statistical data analyses • Tutoring in university statistics • All common tests: regression models, correlation analyses, non-parametric tests, visualization, etc. • Flexible appointment scheduling: Last-minute help available • Consultation conveniently via Zoom, MS Teams or Skype • Use of common software: SPSS, R, Jamovi, JASP I offer professional advice or implementation of your statistical data analysis. With my individual service, you will not only receive a complete evaluation according to APA and DGPS standards, but also personal support at the highest level. What I can do for you: • Comprehensive data analysis: I take care of data cleansing, create the necessary syntax (SPSS, R Studio, PSPP) and provide you with a clear, understandable evaluation in German or English. • Custom visualizations: Graphical representations and customized tables for descriptive statistics that are specifically tailored to your needs. • Hypothesis testing and modeling: Whether simple regressions, analyses of variance or complex structural equation models – I will help you to optimally answer your research questions. Why my service is the right choice: • Professional expertise: As an experienced data analyst with a psychological background, I offer you well-founded analyses that meet the highest scientific standards. • Transparency and openness: Each analysis is delivered with complete documentation, including understandable syntax and analysis documentation. • Individual support: You are the focus throughout the entire process. I will address your specific needs and accompany you step by step so that your results are scientifically sound and meaningful. Your added value: • Stress reduction: Leave the complex tasks of data analysis to me and concentrate on the content of your work. This will minimize stress, especially when you are under time pressure. • High quality and reliability: Each evaluation is carried out carefully and in compliance with strict scientific guidelines to ensure the best possible results. • Many years of experience: By supervising hundreds of theses and projects, I bring sound expertise and practical experience to every new project. Take the opportunity to put your statistical analysis in professional hands. Contact me today and request your individual offer – the next step towards your successful scientific work!
Psychology (for students) · Social studies · Statistics
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Dave - Paris, France46Fr
46FrMachine learning course / project by Doctor in machine learning and actuarial science
Trusted teacher: Hello, I am an experienced machine learning teacher with 5 years of expertise in teaching this discipline at all levels. My expertise using Python and R allows me to teach different machine learning algorithms such as neural networks, decision trees and clustering algorithms. I am also experienced in using popular Python and R libraries such as TensorFlow, Keras, Scikit-learn and ggplot2. In addition to my machine learning skills, I am able to help students read and understand research papers for their presentations, as well as work on projects in Python and R. My commitment to machine learning is passionate and I enjoy sharing my knowledge with my students. If you are interested in my services as a machine learning teacher for all levels, do not hesitate to contact me. In addition to my machine learning skills, I am also able to help you with mathematics, statistics and dissertation writing. I am available to teach the following subjects: 1.Python or R 2. Data exploration 3.Machine learning 3.1. Intro ML 3.2. Linear Model -> Linear Models for Regression and Classification 3.3. kernel -> Kernelization 3.4. Model selection 3.5. model set, -> Bagging / RandomForest, Boosting (XGBoost, LightGBM,...) , Stacking 3.6. Data preprocessing -> Data pre-processing -> Pipelines: choose the right preprocessing steps and models in your pipeline -> Cross validation 3.7. Neural Networks -> Neural architectures -> Training neural nets: Forward pass: Tensor operations and Backward pass: Backpropagation -> Neural network design: Activation functions, weight initialization and Optimizers -> Neural networks in practice: Model selection, Early stopping, Memorization capacity and information bottleneck, L1/L2 regularization, Dropout, Batch normalization 3.8. Convolutional Neural Networks -> Convolved Image -> Convolutional neural networks ->Data increase -> Model interpretation -> Using pre-trained networks (transfer learning) 3.9. Neural Networks for text -> Bag of word representations, Word embeddings, Word2Vec, FastText, GloVe
Math · Statistics · Computer science
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Phoebe - Finland25Fr
25FrBeginner level coding for R - science, statistics, and ecology
Trusted teacher: Becoming a scientist? Statistics and coding skills are an important part of your everyday job. Learn early, practice, and with no time you will be flying through your data analyses before everybody else. Using coding software such as R allows you to interpret and analyse meaningful data and plot beautiful graphs using base R or multiple libraries. I will teach you the basic syntax of R, how to understand and 'think' like R, and build on those skills to do more complicated statistics (ANOVA's, PCA, GLM's, mixed-effects models, etc.) and - the most important(!) - how to plot beautiful graphs! I would recommend this level of tutoring to college and university level students (that's not to deter any of you ambitious secondary/high school students, or people with a general interest, you are more than welcome!). I have put beginner level as the class title, but I am happy to teach higher levels. We can tailor the class to you if you want to focus on syntax, loops, statistics, models, figures/plots, etc. It's up to you! :) About me: I am a PhD researcher who is specialising in Arctic marine ecology with a solid background in marine science and ecology. I am currently based in Finland, Europe, but I am a UK national and studied at both St Andrews University and Southampton University in the UK. I am flexible with timings so if the times listed below don't suit you please contact me and we can organise a time that works for us both.
Computer programming · Science · Statistics
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Our students from Zürich evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Zürich to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 16 reviews.

Online statistics class with spss sessions for research
Ruwayda
rating star
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Ruwayda was an excellent teacher, she had the expertise I required for my master's level statistical problems with SPSS (mixed model effects). She addressed our class having considered and extensively prepared for the lesson, gaining time for real discussion. I will contact her again if I need more help
Review by USER
Tutor for mathematics and statistics, Data Science
Salma
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So far I've had no issues with Salma, she is knowledgeable in the topics I need help with and she is not a bad choice for those planning to learn statistics.
Review by GAVIN
Mathematics, Statistics, PACES and IB students (Lyon)
Ceren
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rating green star
Excellent lesson and much enjoyed by my son. More lessons booked!
Review by JAN

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